Triple
T29904948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanotechnology Characterization Laboratory |
E759509
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | nanotechnology laboratory |
C44465
|
CONCEPT FINISHED |
How this triple was built (1 step)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: nanotechnology laboratory Context triple: [Nanotechnology Characterization Laboratory, instanceOf, nanotechnology laboratory]
-
A.
materials science laboratory
A materials science laboratory is a specialized facility equipped to synthesize, process, and characterize materials in order to understand and optimize their structure, properties, and performance for various applications.
-
B.
national nanotechnology user facility
chosen
A national nanotechnology user facility is a federally supported research center that provides shared, state-of-the-art nanoscience instruments, expertise, and infrastructure for use by academic, industry, and government researchers.
-
C.
nuclear physics laboratory
A nuclear physics laboratory is a specialized research facility equipped with instruments and infrastructure for studying the properties, interactions, and structure of atomic nuclei and subatomic particles.
-
D.
private laboratory
A private laboratory is a non-public scientific facility, typically owned by a company or individual, where controlled experiments, analyses, and research are conducted for proprietary, commercial, or specialized purposes.
-
E.
nanofabrication method
A nanofabrication method is a process or technique used to create, modify, or assemble structures and devices with features at the nanometer scale.
- F. None of above.
Provenance (1 batch)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f224600590819085e148a01c056ef6 |
completed | April 29, 2026, 3:31 p.m. |
Created at: April 29, 2026, 6:08 p.m.